PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-08-09 10:22:34.496447+00:00 (UTC)
In US/Central Time, this is 2024-08-09 05:22:34.496447-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/271b765535b3d3b8ee57a374cf9607a296fe358efa18e94e1d65b44fcad0936e.png
We are just generating a random time serie here.
../_images/3f1df9c5472b3b5377ea7adad670d01706581bee6bdc1b3bd4dce95970c3459c.png
../_images/d5fd9651cd5914ca4a26c649503a623010eb9d3107422649a39a0ba76eea5e68.png